GoBoxEd is our most popular curriculum for GoPiGo, our Raspberry Pi robot car. It comes with a set of robot cars, a set of 9 different sensors for each kit, and 12 Missions to accomplish!

GoBoxEd Missions not only cover the basics of learning Bloxter, our block based language similar to Scratch, but also integrate other concepts like biomimicry and natural disasters. View a short description of each mission here.

You get five sets of the following: The GoPiGo3 full robot kit (see details below), 9 sensors and access to the 12 beautifully designed Missions on Dexter Studio that take you step by step through building and coding your robot!

The missions are in a story form of step-by-step instructions that take you through the whole experience. You’ll have full access to our video library and our education support team as well. The GoBox sensor set includes the following: Light & Color Sensor, Loudness Sensor, Distance Sensor, Buzzer, LED, Motion Sensor, Button Sensor, Infrared Sensor, and the GoPiGo Line Follower.

GoBoxEd was designed for beginners, and the content of the Missions teaches the Bloxter programming language for the GoPiGo, with the very last mission being a bridge to Python. Read more about how we put together the missions here.

Reviews

“The GoPiGo is a great tool for introducing robotics to a classroom.” & “One of the best robotics kits you can buy, especially for teachers.” – MagPi

“The build experience and the package as a whole make it very easy to recommend.” – Raspberry Pi Pod

Standards:

Overarching standards:

CCSS.Math.Practice.MP1 Make sense of problems and persevere in solving them. Mathematically proficient students start by explaining to themselves the meaning of a problem and looking for entry points to its solution. They analyze givens, constraints, relationships, and goals

CCSS.MATH.PRACTICE.MP2 Reason abstractly and quantitatively.

CCSS.MATH.PRACTICE.MP3 Construct viable arguments and critique the reasoning of others.

CCSS.MATH.PRACTICE.MP4 Model with mathematics.

CCSS.MATH.PRACTICE.MP5 Use appropriate tools strategically.

CCSS.MATH.PRACTICE.MP6 Attend to precision.

CCSS.MATH.PRACTICE.MP7 Look for and make use of structure

CCSS.MATH.PRACTICE.MP8 Look for and express regularity in repeated reasoning.

Includes the subgenres of exposition, argument, and functional text in the form of personal essays, speeches, opinion pieces, essays about art or literature, biographies, memoirs, journalism, and historical, scientific, technical, or economic accounts (including digital sources) written for a broad audience

Mission 2:

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.

Students who demonstrate understanding can: Make observations of plants and animals to compare the diversity of life in different habitats.

(Grades 3-5) 3-5-ETS1-1: Engineering Design

Students who demonstrate understanding can: Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

(Grade 4) 4-LS1-1: From Molecules to Organisms: Structures and Processes

Students who demonstrate understanding can: Construct an argument that plants and animals have internal and external structures that function to support survival, growth, behavior, and reproduction.

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.

Common Core Math Standards

CCSS.MATH.CONTENT.6.SP.A.2 — Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

Mission 4:

**This mission could be modified to talk about sound waves to include more standards.

Common Core Math Standards

CCSS.MATH.CONTENT.6.SP.A.2 — Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.

Mission 5:

Next Generation Science Standards

(Grade 4) 4-PS4-1 — Develop a model of waves to describe patterns in terms of amplitude and wavelength and that waves can cause objects to move

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 6:

Common Core Math

CCSS.MATH.CONTENT.6.EE.A.2.C — Evaluate expressions at specific values of their variables. Include expressions that arise from formulas used in real-world problems. Perform arithmetic operations, including those involving whole-number exponents, in the conventional order when there are no parentheses to specify a particular order

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 7:

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 8:

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 9:

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 10:

Next Generation Science Standards

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.4-PS4-3.Generate and compare multiple solutions that use patterns to transfer information

PS4.C Information Technologies and Instrumentation: Waves can be used to transmit digital information.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 11:

4-PS4-3.Generate and compare multiple solutions that use patterns to transfer information

PS4.C Information Technologies and Instrumentation: Waves can be used to transmit digital information.

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

Mission 12:

3-5-ETS1-1 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

3-5-ETS1-2 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.

3-5-ETS1-3 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.

MS-ETS1-1 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles

MS-ETS1-2 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

MS-ETS1-3 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success

MS-ETS1-4 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved

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